公开(公告)号：US11313693B2

公开(公告)日：2022-04-26

申请号：US16807749

申请日：2020-03-03

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Ryan A. MacDonald ,  Mohammadali Shahriari ,  Dorothy Lui ,  Donovan J. Wisner ,  Benjamin J. Gaffney

IPC: G01C21/34 ,  G08G1/0968 ,  G08G1/0962 ,  G08G1/01

Abstract: A system for closest in path vehicle following using surrounding vehicles motion flow is provided and includes a sensor device of a host vehicle generating data related to vehicles upon a drivable surface. The system further includes a navigation controller including a computerized processor operable to monitor the data from the sensor device, define a portion of the plurality of vehicles as a swarm of vehicles, identify one of the plurality of vehicles as a closest in path vehicle to be followed, evaluate the data to determine whether the closest in path vehicle to be followed is exhibiting good behavior in relation to the swarm of vehicles, and, when the closest in path vehicle to be followed is exhibiting the good behavior, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle controller controlling the host vehicle based upon the breadcrumbing navigation path.

公开(公告)号：US20210278231A1

公开(公告)日：2021-09-09

申请号：US16807749

申请日：2020-03-03

Applicant: GM Global Technology Operations LLC

Inventor： Ryan A. MacDonald ,  Mohammadali Shahriari ,  Dorothy Lui ,  Donovan J. Wisner ,  Benjamin J. Gaffney

IPC: G01C21/34 ,  G08G1/01 ,  G08G1/0962 ,  G08G1/0968

Abstract: A system for closest in path vehicle following using surrounding vehicles motion flow is provided and includes a sensor device of a host vehicle generating data related to vehicles upon a drivable surface. The system further includes a navigation controller including a computerized processor operable to monitor the data from the sensor device, define a portion of the plurality of vehicles as a swarm of vehicles, identify one of the plurality of vehicles as a closest in path vehicle to be followed, evaluate the data to determine whether the closest in path vehicle to be followed is exhibiting good behavior in relation to the swarm of vehicles, and, when the closest in path vehicle to be followed is exhibiting the good behavior, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle controller controlling the host vehicle based upon the breadcrumbing navigation path.

公开(公告)号：US20210124360A1

公开(公告)日：2021-04-29

申请号：US16661498

申请日：2019-10-23

Applicant: GM Global Technology Operations LLC

Inventor： Ryan A. MacDonald ,  Mohammadali Shahriari ,  Dorothy Lui ,  Donovan J. Wisner

IPC: G05D1/02 ,  G01C21/36 ,  G06K9/00

Abstract: A system for closest in path vehicle following is provided. The system includes a sensor device of a vehicle to be controlled generating data related to a closest in path vehicle and related to a drivable surface in front of the vehicle. The system further includes a navigation control module including a computerized processor operable to monitor the data from the sensor device, evaluate the data to determine a quality measure of a path followed by the closest in path vehicle, and if the quality measure of the closest in path vehicle is above a high-quality candidate threshold, generate a breadcrumbing navigation path based upon the data. The system further includes a vehicle control module controlling the vehicle to be controlled based upon the breadcrumbing navigation path.

公开(公告)号：US20200379465A1

公开(公告)日：2020-12-03

申请号：US16427919

申请日：2019-05-31

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Paul A. Adam ,  Namal P. Kumara ,  Gabriel T. Choi ,  Donovan J. Wisner

IPC: G05D1/02

Abstract: A method and apparatus that adjust a field of view of a sensor are provided. The method includes detecting at least one target object in an effective field of view of the sensor, determining an area corresponding to the effective field of view of the sensor, determining whether a critical zone is within the effective field of view based on the determined area of the effective field of view, parameters corresponding to the at least one target object, and parameters corresponding to the host vehicle, and moving the host vehicle within its lane of travel to adjust the effective field of view to capture the critical zone in response to determining that the critical zone is not within the effective field of view.